Data Scientist, Trust & Safety - Rentals

Zillow
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Collaboration","Experimentation","Communication","Data responsibility","Stakeholder management"]

Apply advanced analytics and machine learning to moderately complex trust & safety and customer use cases across Zillow Rentals. Partner with product, engineering, and business stakeholders to turn ambiguous questions into testable hypotheses, define success metrics, and deliver scalable data products. Build, validate, and operate production-quality models and data pipelines, analyze large datasets, and use experimentation practices like A/B testing to measure and improve impact.

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FursaFursa
Zillow
Zillow
4 days ago

Data Scientist, Trust & Safety - Rentals

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Apply advanced analytics and machine learning to moderately complex trust & safety and customer use cases across Zillow Rentals. Partner with product, engineering, and business stakeholders to turn ambiguous questions into testable hypotheses, define success metrics, and deliver scalable data products. Build, validate, and operate production-quality models and data pipelines, analyze large datasets, and use experimentation practices like A/B testing to measure and improve impact.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end design, development, and deployment of analytical and ML solutions for moderately complex business problems and customer use cases with guidance from your manager.
  • •Translate ambiguous questions into testable hypotheses, define success metrics, and align requirements to analytical or modeling approaches with cross-functional partners.
  • •Build, validate, and maintain scalable data pipelines, features, and models with modern data/ML tooling for reliability, reproducibility, and production performance.
  • •Analyze large, complex datasets to uncover trends and communicate findings and recommendations to technical and non-technical audiences.
  • •Apply experimentation and evaluation practices (e.g., A/B testing, backtesting, error analysis) to measure impact and guide iteration; contribute to standards and documentation for model governance and responsible data/AI use.

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Bachelor’s degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Engineering, or related).
  • •5+ years of professional experience applying data science, advanced analytics, or machine learning.
  • •Experience designing and implementing end-to-end analytical or ML solutions (data preparation, feature engineering, model development, validation, operationalization).
  • •Experience working with large datasets and modern data ecosystems (e.g., distributed data processing, cloud-based data platforms).
  • •Experience collaborating with cross-functional partners to understand requirements, prioritize work, and deliver measurable outcomes using data and analytics.
Experience:5+ yearsMachine learningData scienceReal estate
Education:Bachelor's
Skills:CollaborationExperimentationCommunicationData responsibilityStakeholder management

Company Brief

Zillow
Operates an online real estate marketplace providing listings, valuation estimates, rentals, and agent tools. Connects buyers, sellers, renters, and real estate professionals with data-driven search, home Zestimate valuations, and advertising services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seattle, United States
Founded: 2006
WebsiteLinkedIn